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                <gco:CharacterString>This data publication includes Community Wildfire Risk Reduction Zone rasters, products delivered as part of the Wildfire Risk to Communities project. There are two types of data included: 1) raster spatial data that delineate Community Wildfire Risk Reduction Zones for all populated areas in the continental United States (CONUS), Alaska, and Hawaii; and 2) tabular summaries by communities, counties, tribal areas, and states of wildfire hazard and risk produced as part of the Wildfire Risk to Communities (WRC) project.The Community Wildfire Risk Reduction Zones (CWiRRZ) product is a 30-m raster delineating areas where mitigation activities will be most effective at protecting homes from most types of wildfire. The zones are determined by the spatial coincidence of wildfire likelihood (Burn Probability), and populated areas. There are four Risk Reduction Zones: Minimal Exposure Zone, Indirect Exposure Zone, Direct Exposure Zone, and Wildfire Transmission Zone. However, the CWiRRZ raster can be further deconstructed into ten zones, wherein the Wildfire Transmission Zone is separated into the following surface fuel types: Tree, Shrub, Grass, Agriculture, Non-Vegetated, Water, and Outlying Wildlands (area beyond 2400-m from buildings).Additional methodology documentation is provided with the data publication download. (https://www.fs.usda.gov/rds/archive/Catalog/RDS-2024-0030)Note: Pixel values in this image service have been altered from the original raster dataset due to data requirements in web services. The service is intended primarily for data visualization. Relative values and spatial patterns have been largely preserved in the service, but users are encouraged to download the source data for quantitative analysis.</gco:CharacterString>
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These data serve two purposes: 1) provide nationally-consistent spatial data that could be used to summarize hazard and risk to populated areas and take into consideration areas with housing units as well as adjacent areas with wildland fuels; and 2) provide communities with a way to spatially identify where different types of risk mitigation activities are likely to be most effective.</gco:CharacterString>
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Gregory K. Dillon
USDA Forest Service, Rocky Mountain Research Station
https://orcid.org/0009-0006-6304-650X

Mitchell T. Lazarz
USDA Forest Service, Rocky Mountain Research Station
https://orcid.org/0000-0002-4558-4949

Eva C. Karau
USDA Forest Service, Rocky Mountain Research Station
https://orcid.org/0009-0009-6776-9387

Scott J. Story
Headwaters Economics

Kelly A. Pohl
Headwaters Economics
https://orcid.org/0009-0003-3876-5121</gco:CharacterString>
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                        <gco:CharacterString>These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:Dillon, Gregory K.; Lazarz, Mitchell T.; Karau, Eva C.; Story, Scott J.; Pohl, Kelly A. 2024. Wildfire Risk to Communities: Community Wildfire Risk Reduction Zones for the United States. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2024-0030The data presented here are the product of modeling, and as such carry an inherent degree of error and uncertainty. Users are strongly encouraged to read and fully comprehend the metadata and other available documentation prior to data use. No warranty is made by the Originator as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data, or for purposes not intended by the Originator. These data are intended to provide nationally-consistent information for the purpose of comparing relative wildfire risk among communities nationally or within a state or county. Data included here are not intended to replace locally-calibrated state, regional, or local risk assessments where they exist. It is the responsibility of the user to be familiar with the value, assumptions, and limitations of these national data publications. Managers and planners must evaluate these data according to the scale and requirements specific to their needs. Spatial information may not meet National Map Accuracy Standards. This information may be updated without notification.The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.Additionally, the U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 (which can be found at https://creativecommons.org/public-domain/cc0/).In accordance with Federal civil rights law and U.S. Department of Agriculture (USDA) civil rights regulations and policies, the USDA, its Agencies, offices, and employees, and institutions participating in or administering USDA programs are prohibited from discriminating based on race, color, national origin, religion, sex, disability, age, marital status, family/parental status, income derived from a public assistance program, political beliefs, or reprisal or retaliation for prior civil rights activity, in any program or activity conducted or funded by USDA (not all bases apply to all programs). Remedies and complaint filing deadlines vary by program or incident.Persons with disabilities who require alternative means of communication for program information (e.g., Braille, large print, audiotape, American Sign Language, etc.) should contact the State or local Agency that administers the program or contact USDA through the Telecommunications Relay Service at 711 (voice and TTY). Additionally, program information may be made available in languages other than English.To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at How to File a Program Discrimination Complaint and at any USDA office or write a letter addressed to USDA and provide in the letter all of the information requested in the form. To request a copy of the complaint form, call (866) 632-9992. Submit your completed form or letter to USDA by: (1) mail: U.S. Department of Agriculture, Office of the Assistant Secretary for Civil Rights, 1400 Independence Avenue, SW, Mail Stop 9410, Washington, D.C. 20250-9410; (2) fax: (202) 690-7442; or (3) email: program.intake@usda.gov.USDA is an equal opportunity provider, employer, and lender.</gco:CharacterString>
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                                                <gco:CharacterString>CO</gco:CharacterString>
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                                        <gco:CharacterString>This contact information was current as of May 2024. For current information see Contact Us page on: https://doi.org/10.2737/RDS.</gco:CharacterString>
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    <dataQualityInfo>
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            <report>
                <DQ_QuantitativeAttributeAccuracy>
                    <measureDescription>
                        <gco:CharacterString>The raster data and tabular summaries described here are derived from wildfire simulation modeling and GIS processing, and their exact accuracy cannot be measured. They are intended to depict wildfire exposure zones and provide relative measures of wildfire risk for planning purposes.</gco:CharacterString>
                    </measureDescription>
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                        <gco:CharacterString>Quantitative accuracy cannot be evaluated.</gco:CharacterString>
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                            <valueUnit gco:nilReason="missing"/>
                            <value>
                                <gco:Record>Unknown</gco:Record>
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            <report>
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                    <measureDescription>
                        <gco:CharacterString>The Community Wildfire Risk Reduction Zones (CWiRRZ) raster is delivered in TIFF format with an attribute table with the following fields:
	
10 Class CWiRRZ: 
1. Minimal Exposure
2. Indirect Exposure
3. Direct Exposure
4. Wildfire Transmission Zone: Tree
5. Wildfire Transmission Zone: Shrub
6. Wildfire Transmission Zone: Grass
7. Wildfire Transmission Zone: Agriculture
8. Wildfire Transmission Zone: Non-Vegetated
9. Outlying Wildlands
10. Water

4 Class CWiRRZ: 
1. Minimal Exposure
2. Indirect Exposure
3. Direct Exposure
4. Wildfire Transmission Zone</gco:CharacterString>
                    </measureDescription>
                    <result gco:nilReason="missing"/>
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            <report>
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                    <measureDescription>
                        <gco:CharacterString>All pixels that are part of the land and water of the United States have valid non-negative values.</gco:CharacterString>
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                    <result gco:nilReason="missing"/>
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            <lineage>
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                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>The Wildfire Risk to Communities (WRC) datasets are based on wildfire simulation modeling. Given the relatively short time available for analysis and production of the WRC datasets, the methods for this project were designed to leverage the existing national wildfire simulation data from Dillon et al. (2023) without further local calibration or modeling work, although one minor edit to the off-the-shelf fuel data was required to calibrate fire occurrence in northern Minnesota. To make the WRC data most useful to communities, we implemented a process to downscale the national burn probability data from their native 270-m cell size to the native 30-m resolution of the nationally available LANDFIRE fuels and vegetation data. Through this process, we also used geospatial smoothing techniques to account for wildfire hazard in parts of communities adjacent to wildland vegetation that may have indirect exposure to wildland fire. 		
		
Dillon, Gregory K. 2023. Wildfire Hazard Potential for the United States (270-m), version 2023. 4th Edition. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2015-0047-4		
				
The overall process is defined below.</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2023T00:00:00</gco:DateTime>
                            </dateTime>
                        </LI_ProcessStep>
                    </processStep>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>1. Remove potentially erroneously mapped buildings. To create wildfire exposure zones, we started with the Building Count raster. But because there are some pixels mapped erroneously as buildings (“false positives”) in the Building Count raster, we removed any pixels mapped within USDA or USDOI Wilderness and Roadless areas, while including buildings mapped within 200-m from the inside edge of those boundaries. We also used the following logic to further minimize false positives: Building Count pixels were eliminated if they were greater than 500-m from a road or greater than 2400-m from a housing unit as mapped in the HUCount raster.</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2023T00:00:00</gco:DateTime>
                            </dateTime>
                            <source>
                                <LI_Source>
                                    <sourceCitation>
                                        <CI_Citation>
                                            <title gco:nilReason="missing"/>
                                            <alternateTitle>
                                                <gco:CharacterString>WRC 2.0 Building Count, WRC 2.0 Housing Unit Count</gco:CharacterString>
                                            </alternateTitle>
                                            <date gco:nilReason="missing"/>
                                        </CI_Citation>
                                    </sourceCitation>
                                </LI_Source>
                            </source>
                        </LI_ProcessStep>
                    </processStep>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>2. Restore potential buildings within Census Places. Because Step 1 removed several building pixels that were true buildings, we checked to see if any Census Designated Places (CDPs) have no buildings after that step, and if so, we added them back into the set of filtered building pixels within that CDP. This ensured that we include buildings within communities where roads were sparsely mapped, and Census data does not adequately count population.</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2023T00:00:00</gco:DateTime>
                            </dateTime>
                            <source>
                                <LI_Source>
                                    <sourceCitation>
                                        <CI_Citation>
                                            <title gco:nilReason="missing"/>
                                            <alternateTitle>
                                                <gco:CharacterString>WRC 2.0 Building Count, Census Place boundaries</gco:CharacterString>
                                            </alternateTitle>
                                            <date gco:nilReason="missing"/>
                                        </CI_Citation>
                                    </sourceCitation>
                                </LI_Source>
                            </source>
                        </LI_ProcessStep>
                    </processStep>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>3. Create exposure area around buildings. We buffered filtered buildings by 200-m to approximate an exposure area (approximately 30 acres) surrounding structures where wildfire risk reduction actions may be warranted.</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2023T00:00:00</gco:DateTime>
                            </dateTime>
                            <source>
                                <LI_Source>
                                    <sourceCitation>
                                        <CI_Citation>
                                            <title gco:nilReason="missing"/>
                                            <alternateTitle>
                                                <gco:CharacterString>WRC 2.0 Building Count</gco:CharacterString>
                                            </alternateTitle>
                                            <date gco:nilReason="missing"/>
                                        </CI_Citation>
                                    </sourceCitation>
                                </LI_Source>
                            </source>
                        </LI_ProcessStep>
                    </processStep>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>4. Characterize exposure zones. Within the buffered area surrounding buildings, we reclassified the Exposure Type raster where:

Exposure Type is 0 = Minimal Exposure,
Exposure type is between 0 and 1 = Indirect Exposure, and 
Exposure Type is 1 = Direct Exposure.

We then used a 200-m radius moving window majority filter on the classified Exposure Types to define boundaries between exposure zones and represent the influence of adjacent fuels on a pixel’s exposure type. To maintain the spatial precision of the Direct Exposure class, we returned pixels originally in the Direct Exposure class to their Direct Exposure in the final exposure zone raster.</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2023T00:00:00</gco:DateTime>
                            </dateTime>
                            <source>
                                <LI_Source>
                                    <sourceCitation>
                                        <CI_Citation>
                                            <title gco:nilReason="missing"/>
                                            <alternateTitle>
                                                <gco:CharacterString>WRC 2.0 Exposure Type</gco:CharacterString>
                                            </alternateTitle>
                                            <date gco:nilReason="missing"/>
                                        </CI_Citation>
                                    </sourceCitation>
                                </LI_Source>
                            </source>
                        </LI_ProcessStep>
                    </processStep>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>5. Identify building clusters. Though we build an exposure zone around every building across the landscape, the Wildfire Transmission Zone is created only around building clusters. To implement this logic, we create a raster processing mask extending from buildings where either of the following conditions apply:
		
1.	A building is within a 227 m radius of one or more buildings,
OR
2.	A building is within a 908 m radius of 16 or more buildings.

Both conditions, when implemented in a raster focal sum operation, generates an area around a building equivalent to 1 building per 40 acres, however the first condition captures buildings that are within 40 acres of another building but in an otherwise sparsely populated area, while the second condition captures buildings near the edges of more densely populated areas. We combined the masks created from these two conditions and selected buildings that fell within the combined area as the starting point from which to build the Wildfire Transmission Zone. We identified the buildings selected with this process as belonging to a “building cluster”, as each one is in a group with other buildings.</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2023T00:00:00</gco:DateTime>
                            </dateTime>
                        </LI_ProcessStep>
                    </processStep>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>6. Create buffer surrounding building clusters. From the building clusters selected in Step 2, we created a 2.4 kilometer (km) buffer to delineate the Wildfire Transmission Zone.</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2023T00:00:00</gco:DateTime>
                            </dateTime>
                        </LI_ProcessStep>
                    </processStep>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>7. Define fuel categories within Wildfire Transmission Zone. Several geoprocessing steps were required to define each of the categories within the Wildfire Transmission Zone (WTZ):
		
WTZ-Tree is mapped as the area 200 m – 2400 m from building clusters, where LANDFIRE FBFM40 is equal to either a Timber Understory (161, 162, 163, 164, 165), Timber Litter (181, 182, 183, 184, 185, 186, 187, 188, 189), or Slash-Blowdown (201, 202, 203, 204) fuel model.  

WTZ-Shrub is mapped as the area 200 m – 2400 m from building clusters, where LANDFIRE FBFM40 is equal to either a Grass-Shrub (121, 122, 123, 124) or Shrub (141, 142, 143, 144, 145, 146, 147, 148, 149) fuel model.  

WTZ-Grass is mapped as the area 200 m – 2400 m from building clusters, where LANDFIRE FBFM40 is equal to a Grass fuel model (101, 102, 103, 104, 105, 106, 107, 108, 109).   

WTZ-Agriculture is mapped as the area 200 m – 2400 m from building clusters, where LANDFIRE FBFM40 is equal to the non-burnable Agricultural fuel model (93); or where exposure is minimal, FBFM40 is 93, and there are no buildings. The second part of this mapping rule eliminated areas of minimal exposure around buildings surrounded by larger regions of non-burnable agriculture, resulting in a more conservative and intuitive characterization for this Wildfire Transmission Zone category. 

WTZ-Non-Vegetated is mapped as the area 200 m – 2400 m from building clusters, where LANDFIRE FBFM40 is equal to a non-burnable Urban, Snow/Ice, or Barren fuel model (91, 92, 99); or where exposure is minimal, FBFM40 is either 91, 92, or 99, there are no buildings, and the majority of pixels within a 200-m radius are non-burnable Agriculture. The second part of this mapping rule is a minor fix that maintains logical consistency by stamping in the WTZ-Non-Vegetated class where Minimal Exposure pixels are surrounded by agriculture.</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2023T00:00:00</gco:DateTime>
                            </dateTime>
                            <source>
                                <LI_Source>
                                    <sourceCitation>
                                        <CI_Citation>
                                            <title gco:nilReason="missing"/>
                                            <alternateTitle>
                                                <gco:CharacterString>LANDFIRE FBFM40</gco:CharacterString>
                                            </alternateTitle>
                                            <date gco:nilReason="missing"/>
                                        </CI_Citation>
                                    </sourceCitation>
                                </LI_Source>
                            </source>
                        </LI_ProcessStep>
                    </processStep>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>8. Delineate ancillary zones.Outlying Wildlands is mapped as the area beyond 2400 m from building clusters, where an Exposure Zone is not assigned, or water is not present. Water is mapped as any area where LANDFIRE FBFM40 is water (98).</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2023T00:00:00</gco:DateTime>
                            </dateTime>
                            <source>
                                <LI_Source>
                                    <sourceCitation>
                                        <CI_Citation>
                                            <title gco:nilReason="missing"/>
                                            <alternateTitle>
                                                <gco:CharacterString>LANDFIRE FBFM40</gco:CharacterString>
                                            </alternateTitle>
                                            <date gco:nilReason="missing"/>
                                        </CI_Citation>
                                    </sourceCitation>
                                </LI_Source>
                            </source>
                        </LI_ProcessStep>
                    </processStep>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>9. Create final CWiRRZ raster. The final step in creating the CWiRRZ product is to stamp the Exposure Zone raster on top of the Wildfire Transmission Zone and ancillary zones resulting in a raster with the final classes. The raster attribute table includes all information needed to display either the 4 Class or 10 Class CWiRRZ versions: 
		
4-class CWiRRZ – includes the three exposure zones and the entire Wildfire Transmission Zone mapped with a single value.

10-class CWiRRZ – includes the three exposure zones and separate values for each of the fuel categories in the Wildfire Transmission Zone. It also includes the Outlying Wildlands and Water categories.</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2023T00:00:00</gco:DateTime>
                            </dateTime>
                        </LI_ProcessStep>
                    </processStep>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>10. Produce tabular summaries of wildfire hazard and risk. This publication includes a set of tables that summarize many of the wildfire hazard and risk raster datasets from Scott et al. (2024, https://doi.org/10.2737/RDS-2020-0016-2) and Jaffe et al. (2024, https://doi.org/10.2737/RDS-2020-0060-2) by jurisdictions – states, counties, tribal areas, and communities. 

For WRC 1.0 (Scott et. al. 2020), we calculated these summaries as housing unit weighted means within the political boundaries of the different jurisdictions. We summarized risk only where Housing Unit Density is greater than zero, focusing in on the location of homes and the surrounding 200-m radius area used in creating the density raster. For the new summaries in WRC 2.0, we included broader spatial context that captures the hazard characteristics of the surrounding landscape. This was accomplished by summarizing the  hazard and risk within three zones defined in the CWiRRZ: the Indirect Exposure Zone, Direct Exposure Zone, and Wildfire Transmission Zone. To capture the full extent of these zones relative to any jurisdiction, we include all area within these three zones that is within 2.4 km of the jurisdictional boundary, such that the wildfire hazard within 2.4 km of all buildings in any jurisdiction is considered in its summary statistics. The metrics reported in the WRC 2.0 tables are also land area based rather than weighted by housing units. This means that averages for this version were calculated with all pixels within the summary area weighted evenly, as opposed to previous calculations that were weighted by the relative housing-unit density at each pixel. 

Scott, Joe H.; Gilbertson-Day, Julie W.; Moran, Christopher; Dillon, Gregory K.; Short, Karen C.; Vogler, Kevin C. 2020. Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. Fort Collins, CO: Forest Service Research Data Archive. Updated 25 November 2020. https://doi.org/10.2737/RDS-2020-0016</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2024T00:00:00</gco:DateTime>
                            </dateTime>
                            <source>
                                <LI_Source>
                                    <sourceCitation>
                                        <CI_Citation>
                                            <title gco:nilReason="missing"/>
                                            <alternateTitle>
                                                <gco:CharacterString>Census State boundaries, Census County boundaries, Census Tribal Area boundaries, Census Place boundaries, WRC 2.0 Landscape-wide hazard and risk rasters, WRC 2.0 Populated Areas datasets</gco:CharacterString>
                                            </alternateTitle>
                                            <date gco:nilReason="missing"/>
                                        </CI_Citation>
                                    </sourceCitation>
                                </LI_Source>
                            </source>
                        </LI_ProcessStep>
                    </processStep>
                    <source>
                        <LI_Source>
                            <description>
                                <gco:CharacterString>We used the LANDFIRE Fire Behavior Fuel Models layer (FBFM40) to delineate surface fuel categories within the Wildfire Transmission Zone.</gco:CharacterString>
                            </description>
                            <sourceCitation>
                                <CI_Citation>
                                    <title>
                                        <gco:CharacterString>LANDFIRE 2.2.0 40 Scott and Burgan Fire Behavior Fuel Models layer</gco:CharacterString>
                                    </title>
                                    <alternateTitle>
                                        <gco:CharacterString>LANDFIRE FBFM40</gco:CharacterString>
                                    </alternateTitle>
                                    <date>
                                        <CI_Date>
                                            <date>
                                                <gco:Date>2022</gco:Date>
                                            </date>
                                            <dateType>
                                                <CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode" codeListValue="publication" codeSpace="ISOTC211/19115">publication</CI_DateTypeCode>
                                            </dateType>
                                        </CI_Date>
                                    </date>
                                    <edition>
                                        <gco:CharacterString>2.2.0</gco:CharacterString>
                                    </edition>
                                    <citedResponsibleParty>
                                        <CI_ResponsibleParty>
                                            <organisationName>
                                                <gco:CharacterString>U.S. Department of Agriculture, Forest Service</gco:CharacterString>
                                            </organisationName>
                                            <role>
                                                <CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode" codeListValue="originator" codeSpace="ISOTC211/19115">originator</CI_RoleCode>
                                            </role>
                                        </CI_ResponsibleParty>
                                    </citedResponsibleParty>
                                    <citedResponsibleParty>
                                        <CI_ResponsibleParty>
                                            <organisationName>
                                                <gco:CharacterString>U.S. Department of the Interior</gco:CharacterString>
                                            </organisationName>
                                            <role>
                                                <CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode" codeListValue="originator" codeSpace="ISOTC211/19115">originator</CI_RoleCode>
                                            </role>
                                        </CI_ResponsibleParty>
                                    </citedResponsibleParty>
                                    <presentationForm>
                                        <CI_PresentationFormCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_PresentationFormCode" codeListValue="mapDigital" codeSpace="ISOTC211/19115">mapDigital</CI_PresentationFormCode>
                                    </presentationForm>
                                    <otherCitationDetails>
                                        <gco:CharacterString>Scott, Joe H.; Burgan, Robert E. 2005. Standard fire behavior fuel models: a comprehensive set for use with Rothermel's surface fire spread model. Gen. Tech. Rep. RMRS-GTR-153. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 72 p. https://doi.org/10.2737/rmrs-gtr-153</gco:CharacterString>
                                    </otherCitationDetails>
                                </CI_Citation>
                            </sourceCitation>
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                                    </citedResponsibleParty>
                                    <presentationForm>
                                        <CI_PresentationFormCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_PresentationFormCode" codeListValue="mapDigital" codeSpace="ISOTC211/19115">mapDigital</CI_PresentationFormCode>
                                    </presentationForm>
                                </CI_Citation>
                            </sourceCitation>
                            <sourceExtent>
                                <EX_Extent>
                                    <description>
                                        <gco:CharacterString>Publication Date</gco:CharacterString>
                                    </description>
                                    <temporalElement>
                                        <EX_TemporalExtent>
                                            <extent>
                                                <gml:TimeInstant gml:id="N68233">
                                                    <gml:timePosition>2024</gml:timePosition>
                                                </gml:TimeInstant>
                                            </extent>
                                        </EX_TemporalExtent>
                                    </temporalElement>
                                </EX_Extent>
                            </sourceExtent>
                        </LI_Source>
                    </source>
                </LI_Lineage>
            </lineage>
        </DQ_DataQuality>
    </dataQualityInfo>
</MD_Metadata>
